Vero AI Evaluates 10 Leading Generative AI Models Using Its Comprehensive VIOLET Framework to Gauge Responsible AI 

Vero AI, an analytical engine and scoreboard that helps enterprises fully harness the potential of advanced technology including artificial intelligence while minimizing risk, announced the findings of its inaugural “Generating Responsibility: Assessing AI Using AI” report.

Intel Gaudi 2 Remains Only Benchmarked Alternative to NV H100 for GenAI Performance

Newest MLPerf results for Intel Gaudi 2 accelerator and 5th Gen Intel Xeon demonstrate how Intel is raising the bar for generative AI performance across its portfolio and with its ecosystem partners.

New Research Highlights GenAI as an Increasing Priority for Analytics Community

insightsoftware, the comprehensive provider of solutions for the Office of the CFO, released Embedded Analytics Insights for 2024, a research report in partnership with Hanover Research uncovering the embedded analytics priorities, trends, and challenges of modern developer teams.

Securing GenAI in the Enterprise

Opaque Systems released a new whitepaper titled “Securing GenAI in the Enterprise.” Enterprises are chomping at the bit to use GenAI to their benefit but they are stuck. Data privacy is the number one factor that stalls GenAI initiatives. Concerns about data leaks, malicious use, and ever-changing regulations loom over the exciting world of Generative AI (GenAI), specifically large language models (LLMs).

NEW RESEARCH: Growing Database Complexity Will Fuel Significant Skills Gaps in 2024

Increasing complexity, the rapid adoption of emerging technologies and a growing skills gap are the biggest concerns facing IT leaders in 2024, according to The State of the Database Landscape, a major new survey from end-to-end Database DevOps provider Redgate. 

Veritas Survey Finds Workers are Putting Businesses at Risk by Oversharing with GenAI Tools

Our friends over at Veritas just released a new survey revealing that workers are oversharing with generative AI tools, putting businesses at risk. Nearly a third (31%) of global office workers admitted to inputting potentially sensitive information into generative AI tools, such as customer details or employee financials.

Survey: 1 in 3 People are Using AI to Save their Love Lives

To find out exactly how people feel about AI influencing their dating journey, our friends over at Top10.com recently surveyed over one thousand adults about the idea. The results might surprise you!

Survey Shows that More than 90% of Insurers Plan to Increase AI Investment – Top 4 Trends for Insurers in 2024

To glean insights, Gradient AI conducted a survey  among 100+ customers across diverse insurance companies, revealing four noteworthy AI trends influencing the future landscape of the insurance sector.

New OneStream Research Finds 80% of Financial Decision-Makers Believe AI Will Increase Productivity

OneStream, a leader in corporate performance management (CPM) solutions for advancing financial close, consolidation, reporting, planning and forecasting, announced the results of its global “AI-Driven Finance“ survey, revealing the majority (80%) of financial decision-makers believe AI will increase productivity in the office of finance.

Generative AI Models Are Built to Hallucinate: The Question is How to Control Them

In this contributed article, Stefano Soatto, Professor of Computer Science at the University of California, Los Angeles and a Vice President at Amazon Web Services, discusses generative AI models and how they are designed and trained to hallucinate, so hallucinations are a common product of any generative model. However, instead of preventing generative AI models from hallucinating, we should be designing AI systems that can control them. Hallucinations are indeed a problem – a big problem – but one that an AI system, that includes a generative model as a component, can control.